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Journal of Mathematics Technology and Education

jomte
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Published by TALENTA PUBLISHER

ISSN : 28300394 EISSN : - DOI : -

Core Subject : Economy, Science, Education, Social, Engineering,

Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Environmental Science Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation

ournal of Mathematics Technology and Education (JoMTE) is a peer-reviewed four times a year journal (March, June, September, and December) published by TALENTA Publisher and organized by Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Sumatera Utara (USU) as an open access journal. It welcomes full research articles in the field of Mathematics and Applied Mathematics related to Mathematics Technology and Educational from the following subject area: Analytics, Operation Research, Statistics, Algebra, Differential Equations, Control Theory, Dynamics System, Mathematics Finance, Graph Theory, Combinatorial, and Mathematics Education.

Arjuna Subject : Matematika - Matematika Terapan

Articles 28 Documents

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Gold Price Forecasting Using Autoregressive Integrated Moving Average (ARIMA) Method Ruth Elizabeth; Syahriol Sitorus
Journal of Mathematics Technology and Education Vol. 1 No. 1 (2021): Journal of Mathematics Technology and Education
Publisher : Talenta Publisher

Gold is one type of investment that is starting to be favored by many people. Every investment has risk, including gold investment. This risk of loss needs to be minimized to obtain maximum profit. So it takes proper planning and forecasting to invest in gold. This study aims to determine the best forecasting model for the price of 1 gram gold bullion produced by PT Aneka Tambang (ANTAM), using the ARIMA method. The data used in this study comes from historical data in 2016 to 2019 to predict gold prices in 2020-2021. Gold Price Forecasting using the ARIMA method produces ARIMA(1,1,0) with the model model . . With error values MAE= 94491.42, MAPE= 10.47776409, MSE= 12281027973, RMSE=110819.7996.

The Effectiveness of ARIMA Method in Rice Production Forecasting of North Sumatera Province
Journal of Mathematics Technology and Education Vol. 1 No. 2 (2022): Journal of Mathematics Technology and Education
Publisher : Talenta Publisher

Rice production continues to be spurred to meet the increasing need for food. Meanwhile, based on data from the Badan Pusat Statistik, in 2019 there was a decline in national rice production, especially in North Sumatra Province. In this research, it was found that the estimated amount of rice production for the next 8 periods was obtained using the Box Jenkins ARIMA method with the ARIMA model (2,0,6) experiencing an up and down trend, The MAPE (Mean Absolute Percentage Error) deviation value is obtained by 12.84%, the forecast model is quite efective to be used.

Application of Raw Material Inventory Control in Neko Neko Bakery and Cake With EOQ Method For Multi Item Fahira Mirza Putri; Agus Salim Harahap
Journal of Mathematics Technology and Education Vol. 1 No. 1 (2021): Journal of Mathematics Technology and Education
Publisher : Talenta Publisher

Inventory control is important action in calculating the optimal amount of the inventory level that required. The raw materials’ supply is the one factors in the production process. The lack of raw materials can make the production process gonna be hung up, otherwise the excess of raw materials can make increasing in storage cost and other costs, This research is the application of the Economic Order Quantity (EOQ) method. It used Lilliefors Normality Test to found the normality of the data. From the calculations from the EOQ method in this study found that the total cost of raw material supplies according to Neko Neko Bakery & Cake was amounted to Rp. 9.699.331,24. While from EOQ was amounted to Rp. 6.713.210,99. And using this method, the company can saving their cost to Rp. 2.986.120,25 from the Total Inventory Cost Calculation.

Forecasting the Production Results of Medicine Horticultural Plants (Biofarmacies) in North Sumatra in 2020 and 2021 Using Double Exponential Smoothing Brown Method Lia Herna Sinaga; Rosman Siregar
Journal of Mathematics Technology and Education Vol. 1 No. 2 (2022): Journal of Mathematics Technology and Education
Publisher : Talenta Publisher

Indonesian medicinal plants have a high contribution to world drug production. North Sumatra is one of provinces that produces a variety of traditional medicinal plants. The data in this study is secondary data obtained from the Central Statistics Agency of North Sumatra which is data on the amount of production of medicinal horicultural plants (biopharmaceuticals) from 2007-2019 using the method Double Exponential Smoothing Brown. The purpose of this research is to get the parameters α and shape forecasting equation that can be used to estimate the amount of production of the total production of horticultural crops medicin from 2006 to 2018 by using the size of the precision of the forecasting Mean absoulte Percentage Error in the method of Double Exponential Smoothing Brown. The parameter α is best used to predict the amount of horticultural crop production of medicinal was 0.24 with a yield forecasting in 2020 amounted to 8,454,007.24 kg and in 2021 amounted to 7,779,411.27 kg.

Implementation of Importance Performance Analysis to Analyze Customer Satisfaction in PT. Bank Tabungan Negara KCP Simalingkar Medan Nia Astria Lingga; Pasukat Sembiring
Journal of Mathematics Technology and Education Vol. 1 No. 1 (2021): Journal of Mathematics Technology and Education
Publisher : Talenta Publisher

The method Importance Performance Analysis (IPA) aims to measure the relationship between consumer perceptions and priorities for improving the quality of services/products which is also known as quadrant analysis. In improving the quality of service to give satisfaction to the consumer the State Savings Bank Branch Office (KCP) Simalingkar Terrain require businesses to meet the expectations of customers, so that customers gain satisfaction with the services provided State Savings Bank KCP Simalingkar Medan. To find out how the level of customer satisfaction with service quality at the State Savings Bank KCP Simalingkar Medan, customer satisfaction was measured using the method Importance Performance Analysis (IPA). There are 25 valid attributes that are asked to customers who use the services of the State Savings Bank. The value of the highest level of service quality compliance is 98.53%, namely the security and confidentiality of customer data. The suitability value from the results of the comparison between performance and interest obtained an average value of 95.70% so that it can be concluded as a whole that the attribute is included in the appropriate category if the value of the level of conformity is close to 100% and is above the average, it can be said that the level of quality conformity The services of the State Savings Bank of KCP Simalingkar Medan are good.

Poisson Regression Modeling Case Study Dengue Fever in Medan City in 2019 Juhenni Putri Sinaga; Ujian Sinulingga
Journal of Mathematics Technology and Education Vol. 1 No. 1 (2021): Journal of Mathematics Technology and Education
Publisher : Talenta Publisher

Dengue Hemorrhagic Fever (DHF) is an infectious disease caused by the dengue virus carried by the Aedes aegypti or Aedes albopictus mosquito which is spread in Southeast Asia. Medan City is one of the endemic areas for dengue fever in North Sumatra Province. This study aims to model the variable cases of dengue fever and determine the factors that have a significant effect on cases of dengue fever in the city of Medan. The method used in modeling the DHF case variable is the Poisson regression method with the response variable (Y) namely the number of DHF cases in Medan City, while the predictor variables are population density, number of health workers, number of health facilities, area height, and average waste production. In Poisson regression analysis, the response variable (Y) must meet the assumption of equidispersion. However, the assumption is often violated, namely overdispersion. Then Negative Binomial Regression was chosen as a non-linear model derived from the Poisson-gamma mixture distribution which is the application of the Generalized Linear Model (GLM) which describes the relationship between the response variable (Y) and the predictor variable (X).

Analysis of Transportation Method in Optimization of Distribution Cost Using Stepping Stone Method and Modified Distribution Annisa; Mardiningsih
Journal of Mathematics Technology and Education Vol. 1 No. 1 (2021): Journal of Mathematics Technology and Education
Publisher : Talenta Publisher

This study aims to examine each method to show the characteristics, advantages and disadvantages of the transportation problem solving method. Vogel Approximation Method (VAM) is an initial solution method that is better than other methods and generally produces an initial solution that is close to the optimum result. In this study the Stepping Stone and Modified Distribution methods produce the same total cost. The main difference between these two methods is in the step of using the shortest path. The author concludes that the determination of the optimal method must be adapted to the conditions of the transportation problem to be solved. The meaning depends on the number of problem variables which will include the number of sources, the number of destinations and the time provided to solve the transportation problem.

Application of Branch and Bound Method to Optimize the Profit of Kue Kacang Hijau MD Production of Special Souvenir Sabang City Rini Kurniasari; Parapat Gultom
Journal of Mathematics Technology and Education Vol. 1 No. 2 (2022): Journal of Mathematics Technology and Education
Publisher : Talenta Publisher

Kue Kacang Hijau MD is a company that engages in the food business in Sabang City. This company produces more than one flavor of mung bean cakes including original flavor, coffee flavor, durian flavor, pandan flavor and chocolate flavor. For the limitation of available raw materials, this company difficulty to optimize its production profits. The aim of this study is to determine the amount of daily production of mung bean cake so the profit is maximum with the limited raw materials that available. This study uses the Branch and Bound Method, that is a method used to solve Integer Programming. From the analysis with this method, the optimal number of mug bean cake production is 1,060 boxes per day, that is 440 boxes of original flavor, 166 boxes of coffee flavor, 146 boxes of durian flavor, 146 boxes of pandan flavor, and 162 boxes of chocolate flavor with maximum profit is Rp. 4,323,200. By applying this method, daily profit would increase 6.35% or Rp. 258,200 compared to the previous profit.

Development of Project Based Learning Learning Model Assisted by Geogebra Software to Improve Students' Creative Thinking Ability at SMK N 1 Penanggalan Basri Cibro; Hasratuddin Siregar; Isnaini Halimah Rambe
Journal of Mathematics Technology and Education Vol. 1 No. 1 (2021): Journal of Mathematics Technology and Education
Publisher : Talenta Publisher

Mathematics is one of the supporters of the development of science and technology. The low creative thinking of students is one of the causes of students' lack of interest in learning mathematics. The assumption for most students that mathematics is a very heavy and difficult subject, especially in solving Geometry Transformation problems. The purpose of this research is to improve students' creative thinking skills through the development of project-based learning models assisted by geogebra software and the effectiveness of these learning models. This development uses the ADDIE (Analysis, Design, Development, implementation and Evaluation) model. The trial was conducted in class XI TKJ SMK N 1 Penanggalan, Penanggalan District, Subulussalam City, Aceh Province. The results showed that in the first trial there were 12 students who completed with 60% and 8 students did not complete with 40% so that they could not meet the effective criteria. In the second trial there was an increase in creative thinking skills for students who completed as many as 18 students, 85.7% and students who did not complete as many as 3 students, 14.3%. So that the development carried out in the second trial showed an increase in students' creative thinking by 25.7%.

Development of Student Worksheets Based on Realistic Mathematics Learning Models to Improve Critical Thinking Skills for Class XI Vocational High School Students Deliana Mayang Depari; Syahlan; Asnawati Matondang
Journal of Mathematics Technology and Education Vol. 1 No. 1 (2021): Journal of Mathematics Technology and Education
Publisher : Talenta Publisher

This type of development research aims to determine the level of validity, effectiveness, and practicality of learning using Student Worksheets based on the Realistic Mathematics Learning model. This development uses the ADDIE development model that uses five stages: analysis, design, development, implementation, and Evaluation. The sample used is class XI SMK Private Mulia Medan. The results showed that the Student Worksheet, which was developed using the Realistic Mathematics Learning model, had a validity level of 4.6 with an outstanding category, the effectiveness level of the results of classical learning completeness in the first trial was 15% of the students completed while in the second trial. by 88% of students who completed. This shows an increase of 23% from the average critical thinking ability of students. Furthermore, the student response was very good with a percentage of 80%, and the practicality of the Student Worksheet obtained an average of 4.29 with a convenient category.

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Editorial Address Department of Mathematics, Faculty of Mathematics and Natural Sciences Universitas Sumatera Utara. Jalan Bioteknologi No. 1, Medan, Sumatera Utara, Indonesia

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Abstract

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Contact Name
-

Contact Email
jmte@usu.ac.id

Phone
+6281396268485

Journal Mail Official
jmte@usu.ac.id

Editorial Address
Department of Mathematics, Faculty of Mathematics and Natural Sciences Universitas Sumatera Utara. Jalan Bioteknologi No. 1, Medan, Sumatera Utara, Indonesia

Location
Unknown,

Unknown

INDONESIA